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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 419–425Cite as

Automatic Solar Flare Tracking

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

In October 2003 we began a four year project whose goal is to build a real-time space weather monitoring and forecasting system. A major component of the project is the use of image processing and pattern recognition techniques to detect and characterize three important solar activities in real–time: filament eruptions, flares, and emerging flux regions. In this paper we describe a method for automatic tracking of the apparent separation motion of two–ribbon flares using a support vector machine for flare detection and image segmentation for flare characterization.

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References

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Author information

Authors and Affiliations

  1. College of Computing Sciences, New Jersey Institute of Technology, Newark, NJ, 07102, USA

    Ming Qu & Frank Shih

  2. Center for Solar-Terrestrial Research, New Jersey Institute of Technology, Big Bear Solar Observatory, 40386 North Shore Lane, Big Bear City, CA 92314, North Shore Lane, Newark, NJ, 07102, USA

    Ju Jing & Haimin Wang

  3. School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia

    David Rees

Authors
  1. Ming Qu
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  2. Frank Shih
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  3. Ju Jing
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  4. Haimin Wang
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  5. David Rees
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Qu, M., Shih, F., Jing, J., Wang, H., Rees, D. (2004). Automatic Solar Flare Tracking. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_56

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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